I'm a Data Scientist with a Master's degree in Data Science (in progress), a Master's Degree in Cognitive Science and a foundation in Philosophy and Psychology. I use this multidisciplinary background to translate the ambiguity of real-world data into precise, functioning systems.
I've always had a curious mind, drawn to the big and interesting questions. My voyage started in philosophy. At the time, it seemed like the most reasonable path to embark on since that is where some of the most foundational questions are addressed. The abstract and verbal intricacy of the subject was fascinating, but after some time, I realised I wanted to do more than what the philosophical method allowed for; I wanted to build.
Cognitive Science became an optimal bridge, allowing me to take my passion for complex systems and apply it. My master's program was my proving ground, where I dove head-first into hands-on implementation. I didn't just study perception; I built computer vision pipelines for social robotics, engineered real-time signal processing systems for EEG data, and compared spatiotemporal data in VR and motion capture.
That hands-on experience was not only deeply rewarding, it solidified my path. Data Science was the clear next step, allowing me to focus my passion for complex systems on building concrete solutions, whether that is training classifiers to predict outcomes, segmenting datasets through clustering, or analyzing sentiment in unstructured text. I like to view Data Science as applied epistemology.
In collective work, I'm known for being reliable and putting in the necessary effort, no matter how tough the task might seem, but I firmly believe that even the most serious work is done better with a calm, creative, and kind attitude. The series of steps I have taken has taught me that the goal is more than just building something technically sound; it's about applying a reflective process to create solutions that are thoughtful and valuable.
Philosophy is not a divergence from data science; it is a toolkit for it. It provides the frameworks necessary to navigate uncertainty, definition, and validity. Here is how I apply that toolkit to data:
I grew up in a household bridged between two cultures. This shaped me in ways that are difficult to articulate, yet fundamental.
One constant in my life is that there is always a project in motion. I am a builder and avid learner by nature; whether that means learning Rust, engineering a private server, or developing physical skills, I have an innate drive to acquire knowledge, evolve, and create.
I have backpacked in places like Singapore, Vietnam, and India and throughout most of Latin America, covering the countries between Mexico and Colombia. Many life lessons, experiences, and a new language were gathered along the way.
I am also meticulously consistent with physical training. I value my training highly and have the ambition of competing in powerlifting at a high level. Over the years I have pursued multiple physical disciplines, ranging from hand-balancing to heavy lifting. These pursuits are a reflection of my commitment to excellence through consistent practice.